摘要
为了建设智能电网,本研究对传统遗传算法进行了改进,考虑了多种目标函数和约束条件。改进后的算法能根据优胜劣汰的原则进行搜索和优化,特别适合于整数型变量的优化问题。将该算法应用到某市15节点系统中进行测试后发现其具有很快的收敛速度和最优的运算结果。通过比较发现,利用优化算法得到的最优方案与实际电网规划中运用工程归算方法得到的计算结果相同,这说明本算法具有很好的适应性。
In order to guarantee the power grid operation under the premise of reliable and stable , the traditional generic algorithm was improved by combining the various objective functions and con-straint conditions .The improved algorithm can search and optimize according to mechanism of the survival of the fittest .It is especially suitable for the optimization solution of integer variables .The application of the proposed algorithm was applied to a fifteen nodes system of a city .The compara-tive experiments show that the algorithm has fast convergence speed and optimized result .The opti-mized generic algorithm has same results with that used in practical grid planning , suggesting the improved algorithm has better adaptability .
出处
《青海大学学报（自然科学版）》
2015年第2期29-35,46,共8页
Journal of Qinghai University(Natural Science)
关键词
遗传算法
优胜劣汰
目标函数
电网规划
generic algorithm
survival of the fittest
objective function
grid planning
